基于EMD间隔阈值消噪与极大似然估计的滚动轴承故障诊断方法

周 智;张优云;朱永生;袁 幸;师浩浩

振动与冲击 ›› 2013, Vol. 32 ›› Issue (9) : 155-159.

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PDF(1897 KB)
振动与冲击 ›› 2013, Vol. 32 ›› Issue (9) : 155-159.
论文

基于EMD间隔阈值消噪与极大似然估计的滚动轴承故障诊断方法

  • 周 智,张优云,朱永生,袁 幸,师浩浩
作者信息 +

Fault diagnosis of rolling bearings based onEMD Interval-Threshold denoising and maximum likelihood estimation

  • ZHOU Zhi, ZHANG You-yun, ZHU Yong-sheng,YUAN Xing, SHI Hao-hao
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摘要

针对小波阈值消噪用作滚动轴承故障信号处理存在小波基函数较难选择及传统硬阈值、软阈值消噪效果差等缺点,将EMD间隔阈值消噪与极大似然估计相结合,应用于滚动轴承早期微弱故障诊断。对原始信号进行EMD分解;对各IMF进行基于极大似然估计的间隔阈值消噪,并重构出故障信号;进行包络谱分析得出诊断结果。数字仿真信号与实验信号验证了该方法的有效性。

Abstract

Wavelet thresholding as a common signal processing for fault diagnosis of rolling bearing, but have the deficiency of difficulty to choose basic function and poor performance of conventional soft and hard threshold. EMD is an adaptive decomposition method based on signal completely, a method combined EMD Interval- Thresholding with maximum likelihood estimation to diagnose the incipient weak fault of rolling bearing is presented in this paper. Firstly, the original signal is analyzed by empirical mode decomposition, then each IMF is denoised by Interval-Thresholding based on maximum likelihood estimation and the fault signals is acquired by reconstructing the thresholded IMFs, finally the results are achieved by spectrum of denoised signal. The results of numerical simulation and an industrial case show that the proposed method is effective to diagnose the fault of rolling bearing significantly.

关键词

EMD间隔阈值消噪 / 极大似然估计 / 滚动轴承 / 故障诊断

Key words

EMD Interval-Thresholding / Maximum Likelihood Estimation / Fault diagnosis / Rolling bearing

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周 智;张优云;朱永生;袁 幸;师浩浩. 基于EMD间隔阈值消噪与极大似然估计的滚动轴承故障诊断方法[J]. 振动与冲击, 2013, 32(9): 155-159
ZHOU Zhi;ZHANG You-yun;ZHU Yong-sheng;YUAN Xing;SHI Hao-hao. Fault diagnosis of rolling bearings based onEMD Interval-Threshold denoising and maximum likelihood estimation[J]. Journal of Vibration and Shock, 2013, 32(9): 155-159

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